Evidence map›Paper›PMID 36271647›Full record

ArticleClinical and translational science2023

Screening and characterization of myositis-related autoantibodies in COVID-19 patients.

Kai-Fa Teo, Der-Yuan Chen, Jeh-Ting Hsu, Yi-Hua Lai, Ching-Kun Chang, Po-Ren Hsueh, Joung-Liang Lan, Jye-Lin Hsu

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. How loss-of-function mutations inJournal of translational autoimmunity · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Kai-Fa TeoGraduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.
Der-Yuan ChenSchool of Medicine, China Medical University, Taichung, Taiwan.
Jeh-Ting HsuDepartment of Information Management, Hsing Wu University, New Taipei, Taiwan.
Yi-Hua LaiSchool of Medicine, China Medical University, Taichung, Taiwan.
Ching-Kun ChangTranslational Medicine Laboratory, China Medical University Hospital, Taichung, Taiwan.
Po-Ren HsuehSchool of Medicine, China Medical University, Taichung, Taiwan.
Joung-Liang LanSchool of Medicine, China Medical University, Taichung, Taiwan.
Jye-Lin HsuGraduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.ORCID 0000-0001-6687-4083
China Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An efficient host immune response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) appears to be crucial for controlling and resolving this viral infection. However, many studies have reported autoimmune characteristics in severe COVID-19 patients. Moreover, clinical observations have revealed that COVID-19-associated acute distress respiratory syndrome shares many features in common with inflammatory myopathy including interstitial lung disease (ILD), most particularly rapidly progressive (RP)-ILD. This study explored this phenomenon by seeking to identify and characterize myositis-specific and related autoantibodies in 25 COVID-19 patients with mild or severe symptoms. Line blot analysis with the EUROLINE Myopathies Ag kit identified 9 (36%) patients with COVID-19 with one or more autoantibodies against several myositis-related antigens (Jo-1, Ku, Mi-2β, PL-7, PL-12, PM-Scl 75, PM-Scl 100, Ro-52, and SRP); no anti-MDA5 antibodies were detected. As the presence of antibodies identified by line blots was unrelated to disease severity, we further characterized the autoantibodies by radioimmunoassay, in which [

Indexed as

AutoantibodiesCOVID-19MyositisHumansLung Diseases, InterstitialSARS-CoV-2Autoantibodies

Identifiers

PMID36271647
PMCPMC9841303
OpenAlexW4307091715

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.